Senior Software Engineer, AI Model Serving - Cambridge, United Kingdom Cambridge, United Kingdom

Applied Intuition Inc.; Remote; GBP 60,000 - 80,000; Full time

Job summary

A tech company focused on innovative audio solutions is seeking a candidate with experience in cloud platforms and containerization. In this role, you will implement voice cloning technology and develop efficient text-to-speech systems. The ideal candidate thrives in a fast-paced environment and values creativity and autonomy while working on impactful products.

Benefits

Competitive compensation

Strong asynchronous work culture

Dynamic work environment

Qualifications

• Direct experience with Google Cloud Platform.
• Experience with Docker and containerized deployments.
• Proficiency in deploying high-availability applications on Kubernetes.

Responsibilities

• Implement state-of-the-art voice cloning.
• Develop low latency and cost-effective text-to-speech systems.

Skills

Google Cloud Platform

Docker

Kubernetes

AWS

Azure

Job description

Overview

The mission of Speechify is to make sure that reading is never a barrier to learning.

Speechify’s text-to-speech products help over 50 million people turn reading material—PDFs, books, Google Docs, news articles, websites—into audio so they can read faster, read more, and remember more. Our products include the iOS app, Android app, Mac app, Chrome extension, and Web app. Google named Speechify the Chrome Extension of the Year and Apple named Speechify App of the Day.

We are a 100% distributed team with nearly 200 people globally. We collaborate across frontend and backend engineering, AI research, and other specialties, drawing talent from leading tech companies and academic programs.

This is a key role for someone who thinks strategically, thrives in a fast-paced environment, and has experience delivering strong user experiences that delight customers.

We operate as a flat organization where leadership can come from excellent technical execution and consistent results. Strong work ethic, effective communication, and a focus on winning are valued.

Our interview process involves several technical interviews, and we aim to complete them within one week.

What You’ll Do

• State-of-the-art voice cloning
• Low latency and cost-effective text-to-speech

An Ideal Candidate Should Have

• Direct experience with Google Cloud Platform and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Experience with Docker and containerized deployments
• Proficiency in deploying high-availability applications on Kubernetes
• Preferred: Experience deploying NLP or TTS models to production

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• Opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a strong asynchronous work culture
• The privilege of working on a product that changes lives, including for people with learning differences
• At the intersection of artificial intelligence and audio in a rapidly evolving tech domain

Think you’re a good fit for this job?

Tell us about yourself and why you’re interested when you apply. Please include links to your portfolio and LinkedIn.

Not looking but know someone who would be a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply for this job

To apply, please submit your contact information and resume. We will provide further instructions after initial review.

Voluntary Self-Identification

Speechify may request voluntary self-identification for government reporting purposes. Completion is optional and will not affect hiring decisions. Any information provided is kept confidential in accordance with applicable laws and company policy. For more details, refer to the company’s Equal Employment Opportunity policy.